Process monitoring and fault detection method based on independent component analysis

被引：0

作者：

Wu, Yinghua ^{[1
]}

Yang, Yinghua ^{[1
]}

Qin, Shukai ^{[1
]}

Chen, Xiaobo ^{[1
]}

机构：

[1] Northeast Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

independent component analysis (ICA); process monitoring; fault detection;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Multivariate statistical process control(MSPC) are based upon the assumption that the observed data must be subject to normal probability distribution, which sometimes can not be satisfied in many industrial applications. Independent component analysis(ICA) is a recently developed method, which can overcome the need of the data distribution. In this paper, a new method is introduced for process monitoring and fault detection based on ICA method. Use ICA to extract the independent components, use I-2, Ie(2) and SPE charts for fault detection. At last, the simulation results of fractional distillation process monitoring reveals this method is very effective.

引用

页码：5586 / +

页数：2

共 12 条

[1] BLIND BEAMFORMING FOR NON-GAUSSIAN SIGNALS
CARDOSO, JF
SOULOUMIAC, A
[J]. IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING, 1993, 140 (06) : 362 - 370
[2] Independent component ordering in ICA time series analysis
Cheung, YM
Xu, L
[J]. NEUROCOMPUTING, 2001, 41 (41) : 145 - 152
[3] CHEUNG YM, 1999, P INT JOINT C NEUR N, P3883
[4] INDEPENDENT COMPONENT ANALYSIS, A NEW CONCEPT
COMON, P
[J]. SIGNAL PROCESSING, 1994, 36 (03) : 287 - 314
[5] Hyvarinen A., 1999, Neural Computing Surveys, V2
[6] Independent component analysis:: algorithms and applications
Hyvärinen, A
Oja, E
[J]. NEURAL NETWORKS, 2000, 13 (4-5) : 411 - 430
[7] Jutten C, 1988, P EUR SIGN PROC C, P287
[8] Dimension reduction of process dynamic trends using independent component analysis
Li, RF
Wang, XZ
[J]. COMPUTERS & CHEMICAL ENGINEERING, 2002, 26 (03) : 467 - 473
[9] SILVERMAN BW, 1986, DENSITY ESTIMAION ST
[10] Wand M. P., 1995, Kernel Smoothing

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